Imprint Logo

Imprint

Senior Data Engineer

Reposted 3 Days Ago
In-Office
San Francisco, CA
170K-220K Annually
Senior level
In-Office
San Francisco, CA
170K-220K Annually
Senior level
Design and maintain scalable data pipelines, ensuring accurate delivery and governance of data across the organization while collaborating with cross-functional teams.
The summary above was generated by AI
Who We Are

Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products—without becoming a bank.

Co-branded cards account for over $300 billion in U.S. annual spend—but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today’s consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we’re building a world-class team to redefine how people pay—and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we’d love to meet you.

The Team

The Data Engineering team at Imprint is responsible for building and scaling the data infrastructure that supports product development, analytics, operations, and machine learning across the company. We own the pipelines, platforms, and processes that empower our stakeholders to trust and act on our data.

We’re looking for a Senior Data Engineer to help evolve our modern data stack and deliver reliable, scalable data solutions. Your work will directly power decision-making and innovation across the business—from financial operations to real-time personalization.

What You’ll Do
  • Design, build, and maintain scalable data pipelines and infrastructure across batch and streaming systems.

  • Own core components of Imprint’s data stack, including Snowflake, dbt Cloud, Change Data Capture frameworks, and reverse ETL integrations.

  • Develop and enforce best practices in data modeling, testing, observability, and governance.

  • Partner with stakeholders across Product, Analytics, Finance, and Engineering to ensure timely and accurate data delivery.

  • Work on external data integrations, such as partner-facing data shares (e.g., S3, SFTP, Snowflake) and financial reporting pipelines (e.g., with Netsuite).

  • Contribute to architectural decisions for how we scale data infrastructure, including schema design, orchestration, and data lineage.

  • Champion clear documentation, reproducibility, and reliability for critical datasets and workflows.

  • Stay informed about modern data tools and trends and help drive their adoption when appropriate.

What We Look For
  • 6+ years of experience in data engineering, analytics engineering, or related roles.

  • Expertise in Snowflake and dbt Cloud, with a strong understanding of dimensional modeling and data warehouse best practices.

  • Experience working with Change Data Capture (e.g., Fivetran, Hevo), ETL/ELT pipelines, and orchestration frameworks (e.g., dbt Cloud, Airflow).

  • Familiarity with reverse ETL tools like Hightouch or Segment, and operational analytics use cases.

  • Strong SQL skills and proficiency in Python or a similar programming language.

  • A track record of technical ownership and shipping production-grade data systems.

  • A detail-oriented mindset and a passion for building clean, maintainable, and observable data systems.

  • Strong communication skills and the ability to collaborate effectively with cross-functional partners.

Nice to Have

  • Experience in fintech, high-growth startups, or customer-facing data products.

  • Familiarity with event streaming technologies like Kafka or Kinesis.

  • Exposure to data governance, security, or compliance practices.

  • Previous work on ML pipelines or experimentation frameworks.

Perks & Benefits
  • Competitive compensation and equity packages

  • Leading configured work computers of your choice

  • Flexible paid time off

  • Fully covered, high-quality healthcare, including fully covered dependent coverage

  • Additional health coverage includes access to One Medical and the option to enroll in an FSA

  • 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents

  • Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity

Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.

Top Skills

Airflow
Change Data Capture
Dbt Cloud
Elt
ETL
Fivetran
Hevo
Hightouch
Kafka
Kinesis
Python
Segment
Snowflake
SQL

Similar Jobs

11 Days Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
Mid level
Mid level
Fintech • Mobile • Software • Financial Services
The role involves designing and maintaining data pipelines and architectures for the People Analytics team, enhancing data systems for better decision-making and compliance.
Top Skills: ContainersGCPOrchestration ToolsPythonRedshiftSnowflakeSQL
2 Days Ago
Easy Apply
Hybrid
4 Locations
Easy Apply
230K-280K Annually
Senior level
230K-280K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Biotech • Pharmaceutical
Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.
Top Skills: DagsterDbtPythonSnowflakeSQL
4 Days Ago
Easy Apply
Remote or Hybrid
6 Locations
Easy Apply
155K-220K Annually
Senior level
155K-220K Annually
Senior level
Fintech • HR Tech
The Senior Data Engineer will build scalable data systems, optimize data workflows, and collaborate with teams to enhance data-driven decisions.
Top Skills: BigQueryDatabricksDbtPythonRedshiftSnowflakeSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account